31 parallel-processing-bioinformatics Fellowship research jobs at Nature Careers in United States
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Dr. Yanjiao Zhou’s lab at the University of Connecticut Health Center is seeking a talented bioinformatics postdoctoral fellow to investigate the role of the gut microbiome and virome in patients
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and/or MD in computational biology, bioinformatics, genomics, or other related fields. Proficiency with high-throughput sequencing data analysis and cluster/cloud computing. Expertise in variant calling
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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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neoantigen-based vaccine methods utilizing bioinformatics epitope selection pipelines. Experience in molecular virology methods, and antigen presentation and processing as applied to human and murine oncology
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models of human disease and clinical samples to assess diagnostic and prognostic value. Engage in collaborative research with faculty and trainees across biology, chemistry, and bioinformatics
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the postdoctoral position, the candidate will evaluate and integrate existing tools and databases into high throughput pipelines and facilitate the display and the distribution of processed data. The data generated
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the
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team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied to vaccine development utilizing viral vectors
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the process of measuring and analyzing high-throughput, multi-dimensional omics data integrating single cell transcriptomics and spatial proteomics of immune cells from CSF and blood as well as human brain
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD